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Graham, John W.; And Others – Multivariate Behavioral Research, 1996
The utility of the three-form design coupled with maximum likelihood methods for estimation of missing values was evaluated. Simulation studies demonstrate that maximum likelihood estimation and multiple imputation methods produce the most efficient and least biased estimates of variances and covariances for normally distributed and slightly…
Descriptors: Data Collection, Estimation (Mathematics), Maximum Likelihood Statistics, Research Design
Peer reviewed Peer reviewed
Chan, Wai; And Others – Multivariate Behavioral Research, 1995
It is suggested that using an unbiased estimate of the weight matrix may eliminate the small or intermediate sample size bias of the asymptotically distribution-free (ADF) test statistic. Results of simulations show that test statistics based on the biased estimator or the unbiased estimate are highly similar. (SLD)
Descriptors: Equations (Mathematics), Estimation (Mathematics), Matrices, Sample Size
Peer reviewed Peer reviewed
Lambert, Zarrel V.; And Others – Multivariate Behavioral Research, 1991
A method is presented that eliminates some interpretational limitations arising from assumptions implicit in the use of arbitrary rules of thumb to interpret exploratory factor analytic results. The bootstrap method is presented as a way of approximating sampling distributions of estimated factor loadings. Simulated datasets illustrate the…
Descriptors: Behavioral Science Research, Computer Simulation, Estimation (Mathematics), Factor Structure